README.md

---
language:
- en
tags:
- token-classification
- pytorch
license: apache-2.0
datasets:
- conll2003
metrics:
- Accuracy, F1 Score, Precision, Recall
model-index:
- name: bhadresh-savani/electra-base-discriminator-finetuned-conll03-english
  results:
  - task:
      type: token-classification
      name: Token Classification
    dataset:
      name: conll2003
      type: conll2003
      config: conll2003
      split: test
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.9397659001450176
      verified: true
    - name: Precision
      type: precision
      value: 0.9492206245667668
      verified: true
    - name: Recall
      type: recall
      value: 0.9468813162653806
      verified: true
    - name: F1
      type: f1
      value: 0.9480495273598721
      verified: true
    - name: loss
      type: loss
      value: 0.3468747138977051
      verified: true
---

# Electra Base Discriminator conll03 English

# Results:
 ```
 ***** predict metrics *****
  predict_accuracy           =     0.9813
  predict_f1                 =     0.9137
  predict_loss               =     0.1251
  predict_precision          =     0.9098
  predict_recall             =     0.9177
  predict_runtime            = 0:00:10.11
  predict_samples_per_second =    341.368
  predict_steps_per_second   =     42.696
 ```